The Combination of Blockchain and the Internet of Things (IoT): Applications, Opportunities, and Challenges for Industry
The utilization of blockchain technology is becoming increasingly prevalent in both
academia and industry due to its decentralized and distributed nature, which offers …
academia and industry due to its decentralized and distributed nature, which offers …
Enhancing trustworthiness among iot network nodes with ensemble deep learning-based cyber attack detection
S Malathi, SR Begum - Expert Systems with Applications, 2024 - Elsevier
A lot of machine learning methods and expert systems are used in network intrusion
detection automation. When different industrial control systems merge with the Internet of …
detection automation. When different industrial control systems merge with the Internet of …
A collaborative intrusion detection approach based on deep learning and blockchain
C Hazman, S Amaouche, M Abdedaime… - … and machine learning …, 2024 - taylorfrancis.com
Intrusion detection systems developed in the past few years could identify a wide range of
harmful network assaults using a number of monitoring methodologies. Still, existing …
harmful network assaults using a number of monitoring methodologies. Still, existing …
Improved Radial Movement Optimization With Fuzzy Neural Network Enabled Anomaly Detection for IoT Assisted Smart Cities
Recently, an extensive implementation of the recent Internet of Things (IoT) model has
resulted in the development of smart cities. The network traffic of smart cities using loT …
resulted in the development of smart cities. The network traffic of smart cities using loT …
A Collaborative Anomaly Detection Model Using En-Semble Learning and Blockchain
Abstract Intrusion Detection Systems (IDS) have historically been constructed using a
centralized topology in which a single device monitors the whole network. However, as the …
centralized topology in which a single device monitors the whole network. However, as the …
A Survey of Machine and Deep Learning Applications in the Assessment of Water Quality
Actually, water is an important resource in different domains namely farming, healthcare and
tourism, as well as in industry. Every living being is depending on adequate amounts of …
tourism, as well as in industry. Every living being is depending on adequate amounts of …
Intelligent Real-Time Monitoring System for Wastewater Management Using Artificial Neural Network
The importance of real-time wastewater quality monitoring in addressing the increasing
demand for water and the impact of climate change on wastewater treatment systems is …
demand for water and the impact of climate change on wastewater treatment systems is …
Soil Spectroscopy: When Spectroscopy and Machine Learning Combine to Solve Agricultural Soil Diagnostic Problems
I Barra - Technical and Technological Solutions Towards a …, 2024 - Springer
Soil spectroscopy that combines spectroscopic analysis and machine learning tools is an
important tool for analyzing soil properties and has gained significant attention in recent …
important tool for analyzing soil properties and has gained significant attention in recent …
Simulation Environment for the Evaluation of Lightweight Intrusion Detection Systems
Toward the goal of promoting energy efficiency and reducing carbon footprint, this paper
analyzes the performance of a lightweight Intrusion Detection System (IDS) in an embedded …
analyzes the performance of a lightweight Intrusion Detection System (IDS) in an embedded …
Intrusion Detection Framework Using AdaBoost Algorithm and Chi-Squared Technique
S Amaouche, C Hazman, A Guezzaz… - … Machine Learning for …, 2024 - taylorfrancis.com
VANET Vehicular Ad-Hoc Networks are becoming a very important topic for improving the
quality of daily life in terms of comfort, safety, and minimizing the risk of accidents. VANETs …
quality of daily life in terms of comfort, safety, and minimizing the risk of accidents. VANETs …